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Xinyang Wu

Xinyang Wu

Research Assistant

Followers of Xinyang Wu386 followers
location of Xinyang WuStuttgart, Baden-Württemberg, Germany

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  • Timeline

  • About me

    Dr.-Ing. | Team Leader at Fraunhofer IPA

  • Education

    • Tongji University

      2012 - 2016
      B.Eng. Automation 4.32 (equivalent to 1.5 in the German grading system)

      Activities and Societies: - Volunteers for the 2015 Fomular Student (Electric) China. - Volunteers for the 2014 Shanghai International Marathon. - Focus on Embedded System, Signal Processing and Control Theory.

    • University of Stuttgart

      2020 - 2024
      Dr.-Ing. Information Technology magna cum laude

      - Dissertation: "Data-Efficient Reinforcement Learning with Bayesian Neural Networks".- Focus on Reinforcement Learning, Probabilistic Theory, Uncertainty Quantification and Bayesian Neural Networks.- Supervision of student theses and review for international conferences and IEEE Transactions.

    • University of Stuttgart

      2016 - 2018
      M.Sc. Information Technology 1.7

      - Focus on Machine Learning, Deep Learning and Signal Processing- Lab Module: Statistical Signal Processing- Master Thesis: (Deep Neural) Network Compression for Automatic Assembly Validation

  • Experience

    • Stuttgart Media University

      Nov 2017 - Aug 2018
      Research Assistant

      - Design and implementation of Object Detection using Convolutional Neural Networks (CNN) for specific use cases.- Responsible for deploying and integrating CNNs on resource-limited embedded systems, especially Raspberry Pi 3, considering efficiency and performance in real-time.

    • Fraunhofer IPA

      Oct 2018 - now

      - Lead of the research group "Efficient Learning and Optimization"- Research Unit Artificial Intelligence and Machine Vision- Responsible for Team Management, Budget Planning and Project leading - Department of Cyber Cognitive Intelligence.- Analysis of complex datasets and development of intelligent solutions for industrial partners in areas such as robotics, manufacturing, automotive, and healthcare.- Lead of projects with interdisciplinary teams and various partners; successful acquisitions of research projects and customers.- Experience as reviewer for international conferences and IEEE Transactions. - Department of Robots and Assistance Systems.- Implementation and integration of RL algorithms (e.g., DQN, DDPG, PPO) for environmental perception and real-time control in UR-series robots.

      • Team Leader

        Jul 2024 - now

      • Research Associate

        May 2019 - Jul 2024

      • Working Student

        Oct 2018 - Apr 2019

  • Licenses & Certifications

    • IELTs

      IELTS BRITISHCOUNCIL
      Jun 2015